Cover Image

v1: Learning to Point Visual Tokens for Multimodal Grounded Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chung, Jiwan, Kim, Junhyeok, Kim, Siyeol, Lee, Jaeyoung, Kim, Min Soo, Yu, Youngjae
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues
by: Kim, Youngmin, et al.
Published: (2025)

Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding
by: Chung, Jiwan, et al.
Published: (2024)

EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild
by: Kim, Junhyeok, et al.
Published: (2025)

GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance
by: Kim, Junhyeok, et al.
Published: (2025)

VAGUE: Visual Contexts Clarify Ambiguous Expressions
by: Nam, Heejeong, et al.
Published: (2024)

Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding
by: Kim, Jiwan, et al.
Published: (2026)

Crafting Query-Aware Selective Attention for Single Image Super-Resolution
by: Kim, Junyoung, et al.
Published: (2025)

Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks
by: Oh, Giyeong, et al.
Published: (2025)

Personalized Scientific Figure Caption Generation: An Empirical Study on Author-Specific Writing Style Transfer
by: Kim, Jaeyoung, et al.
Published: (2025)

Teaching Metric Distance to Discrete Autoregressive Language Models
by: Chung, Jiwan, et al.
Published: (2025)

KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts
by: Hwang, Taebaek, et al.
Published: (2025)

LITTA: Late-Interaction and Test-Time Alignment for Visually-Grounded Multimodal Retrieval
by: Kim, Seonok
Published: (2026)

CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs
by: Kim, Jiwan, et al.
Published: (2025)

MASS: Overcoming Language Bias in Image-Text Matching
by: Chung, Jiwan, et al.
Published: (2025)

Towards Visual Text Design Transfer Across Languages
by: Choi, Yejin, et al.
Published: (2024)

How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding
by: Yu, Zhuoran, et al.
Published: (2025)

Learning GUI Grounding with Spatial Reasoning from Visual Feedback
by: Zhao, Yu, et al.
Published: (2025)

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
by: Kim, Geewook, et al.
Published: (2024)

ERASE: Eliminating Redundant Visual Tokens via Adaptive Two-Stage Token Pruning
by: Lee, Yuna, et al.
Published: (2026)

Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
by: Kang, Seil, et al.
Published: (2025)

See What You Are Told: Visual Attention Sink in Large Multimodal Models
by: Kang, Seil, et al.
Published: (2025)

Global Geometry Is Not Enough for Vision Representations
by: Chung, Jiwan, et al.
Published: (2026)

Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
by: Yoon, Hee Suk, et al.
Published: (2026)

Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning
by: Ni, Minheng, et al.
Published: (2025)

Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding
by: Cho, Beomsik, et al.
Published: (2025)

SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation
by: Shin, Youngwoo, et al.
Published: (2026)

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification
by: Bai, Tianyi, et al.
Published: (2025)

Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!
by: Chung, Jiwan, et al.
Published: (2024)

ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images
by: Kim, Sangwook, et al.
Published: (2025)

Reinforcing Multimodal Reasoning Against Visual Degradation
by: Liu, Rui, et al.
Published: (2026)

Long Grounded Thoughts: Synthesizing Visual Problems and Reasoning Chains at Scale
by: Acuna, David, et al.
Published: (2025)

EggHand: A Multimodal Foundation Model for Egocentric Hand Pose Forecasting
by: Choi, Jaeyoung, et al.
Published: (2026)

Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video
by: Choi, Chanhyuk, et al.
Published: (2026)

Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
by: Hwang, Yerin, et al.
Published: (2025)

Inlier-Centric Post-Training Quantization for Object Detection Models
by: Kim, Minsu, et al.
Published: (2026)

II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering
by: Kil, Jihyung, et al.
Published: (2024)

Frequency-Aware Token Reduction for Efficient Vision Transformer
by: Lee, Dong-Jae, et al.
Published: (2025)

Pegasus-v1 Technical Report
by: Jung, Raehyuk, et al.
Published: (2024)

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM
by: Chi, Donghwan, et al.
Published: (2025)

Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models
by: Chen, Jiaxing, et al.
Published: (2024)